Journal ArticleDOI
Digital twin-driven product design, manufacturing and service with big data
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TLDR
In this paper, a new method for product design, manufacturing, and service driven by digital twin is proposed, and three cases are given to illustrate the future applications of digital twin in three phases of a product respectively.Abstract:
Nowadays, along with the application of new-generation information technologies in industry and manufacturing, the big data-driven manufacturing era is coming. However, although various big data in the entire product lifecycle, including product design, manufacturing, and service, can be obtained, it can be found that the current research on product lifecycle data mainly focuses on physical products rather than virtual models. Besides, due to the lack of convergence between product physical and virtual space, the data in product lifecycle is isolated, fragmented, and stagnant, which is useless for manufacturing enterprises. These problems lead to low level of efficiency, intelligence, sustainability in product design, manufacturing, and service phases. However, physical product data, virtual product data, and connected data that tie physical and virtual product are needed to support product design, manufacturing, and service. Therefore, how to generate and use converged cyber-physical data to better serve product lifecycle, so as to drive product design, manufacturing, and service to be more efficient, smart, and sustainable, is emphasized and investigated based on our previous study on big data in product lifecycle management. In this paper, a new method for product design, manufacturing, and service driven by digital twin is proposed. The detailed application methods and frameworks of digital twin-driven product design, manufacturing, and service are investigated. Furthermore, three cases are given to illustrate the future applications of digital twin in the three phases of a product respectively.read more
Citations
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Journal ArticleDOI
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
TL;DR: This work reviews the recent status of methodologies and techniques related to the construction of digital twins mostly from a modeling perspective to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.
Journal ArticleDOI
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
TL;DR: The definition and state-of-the-art development outcomes of Digital Twin are summarized, and outstanding research issues of developing Digital Twins for smart manufacturing are identified.
Journal ArticleDOI
Digital twin-driven product design framework
Fei Tao,Fangyuan Sui,Ang Liu,Qinglin Qi,Meng Zhang,Boyang Song,Zirong Guo,Stephen C.-Y. Lu,Andrew Y. C. Nee +8 more
TL;DR: This paper presents a new method for product design based on the digital twin approach, which places emphasis on the analysis of physical data rather than the virtual models and illustrates the application of the proposed DTPD method.
Journal ArticleDOI
Scanning the Industry 4.0: A Literature Review on Technologies for Manufacturing Systems
TL;DR: The Industry 4.0 environment is scanned on this paper, describing the so-called enabling technologies and systems over the manufacturing environment.
Journal ArticleDOI
Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison
TL;DR: This paper reviews and analyzes CPS and DTs from multiple perspectives, including their origin, development, engineering practices, cyber–physical mapping, and core elements.
References
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Internet of Things in Industries: A Survey
Li Da Xu,Wu He,Shancang Li +2 more
TL;DR: This review paper summarizes the current state-of-the-art IoT in industries systematically and identifies research trends and challenges.
Proceedings ArticleDOI
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
TL;DR: In this article, the Digital Twin system integrates ultra-high fidelity simulation with the vehicle s on-board integrated vehicle health management system, maintenance history and all available historical and fleet data to enable unprecedented levels of safety and reliability.
Journal ArticleDOI
Reengineering Aircraft Structural Life Prediction Using a Digital Twin
TL;DR: A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented and the technical challenges to developing and deploying a Digital Twin are discussed.
Book ChapterDOI
Digital Twin—The Simulation Aspect
Stefan Boschert,Roland Rosen +1 more
TL;DR: This chapter focuses on the simulation aspects of the Digital Twin, where simulation merges the physical and virtual world in all life cycle phases and enables the users to master the complexity of mechatronic systems.
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